Topic

When two numbers belong to the set of complex numbers, multiplying them results in another complex number. This property makes operator overloading straightforward in the case of complex numbers. Unfortunately, that is not the case when dealing with probability distribution functions that are represented as Gaussian Mixture Models.

Path

Our main goal is to develop a minimal library that allows the end user to work with probability distribution functions represented as Gaussian Mixture Models algebraically with the help of operator overloading acting as an abstraction layer.

Prerequisite

There are no hard constraints, but the more Math and programming you know, the more excitement you can get from the topic.

What I offer

• A teammate/supervisor who is actually present.
• A BSc/MSc thesis project close to cutting-edge research (SFB1574) with the opportunity to bring in your own ideas and a potential prospect of publication in a journal or a likewise scientific contribution.
• I can probably provide you with an office.
• Nice private powerful hardware for running tests and experiments.

Contact

Ali Darijani

ali.darijani@iosb.fraunhofer.de

ali.darijani@kit.edu